The Crucial Role of Bioimage Analysts in Scientific Research and Publication

Beth A. Cimini*, Peter Bankhead, Rocco D'Antuono, Elnaz Fazeli, Julia Fernandez-Rodriguez, Caterina Fuster-Barcelo, Robert Haase, Helena Klara Jambor, Martin L Jones, Florian Jug, Anna Klemm, Anna Kreshuk, Stefania Marcotti, Gabriel G Martins, Sara McArdle, Kota Miura, Laura C Murphy, Michael S Nelson, Simon F Norrelykke, Perrine Paul-GilloteauxThomas Pengo, Joanna W Pylvanainen, Lior Pytowski, Arianna Ravera, Annika Reinke, Yousr Rekik, Caterina Strambio-De-Castillia, Daniel Thedie, Virginie Uhlmann, Oliver Umney, Laura Wiggins, Kevin W. Eliceiri

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Bioimage analysis (BIA), a crucial discipline in biological research, overcomes the limitations of subjective analysis in microscopy through the creation and application of quantitative and reproducible methods. The establishment of dedicated BIA support within academic institutions is vital to improving research quality and efficiency and can significantly advance scientific discovery. However, a lack of training resources, limited career paths and insufficient recognition of the contributions made by bioimage analysts prevent the full realization of this potential. This Perspective - the result of the recent The Company of Biologists Workshop 'Effectively Communicating Bioimage Analysis', which aimed to summarize the global BIA landscape, categorize obstacles and offer possible solutions - proposes strategies to bring about a cultural shift towards recognizing the value of BIA by standardizing tools, improving training and encouraging formal credit for contributions. We also advocate for increased funding, standardized practices and enhanced collaboration, and we conclude with a call to action for all stakeholders to join efforts in advancing BIA.

Original languageEnglish
Article numberjcs262322
JournalJournal of Cell Science
Volume137
Issue number20
Early online date30 Oct 2024
DOIs
Publication statusPublished - Oct 2024

Keywords / Materials (for Non-textual outputs)

  • Bioimage analysis
  • Bioimage analysts
  • Bioimaging
  • Training

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